790 related articles
TutorialsA deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
TutorialsRAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.
Deep DivesDeep analysis of OpenClaw AI Agent internals: System Prompt, tool calling, SubAgents, Skill system, memory, and Context Engineering explained.
TutorialsComplete guide to Google AI Studio covering interface layout, API setup, Gemini model selection, parameter tuning, and hands-on use cases for Build, image generation, video creation, and music.
Deep DivesUnderstand Transformer through the lens of word continuation. Breaking down language generation into Embedding, Transformer Block, and Probability output modules for intuitive understanding.
Product ReviewsReal-world test of AI-generated face tracking masking tool code: Doubao produces working code on first try while GPT fails after multiple debugging rounds. Detailed comparison included.
TutorialsA deep dive into engineering Claude Code for API test automation, covering environment setup, Skill development, tool encapsulation, and Harness Engineering methodology.
TutorialsDetailed guide on configuring DeepSeek V4 Pro, Sonnet, and other models in Claude Code with real cost comparisons, environment variable setup, proxy solutions, and money-saving strategies for developers.
TutorialsLearn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
TutorialsDeep dive into Claude Code Hooks: achieve deterministic control over code formatting, dangerous command blocking, and team config sharing via lifecycle events.
Deep DivesDeep dive into AI hallucination's three root causes: training objective flaws, exposure bias, and probabilistic generation. Covers classification and practical mitigation strategies including RAG.
Deep DivesAnalyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.
Deep DivesComplete guide to the three core LLM training stages: pre-training, supervised fine-tuning (SFT), and preference alignment (DPO/PPO), covering LoRA, distillation, quantization, and pruning.
TutorialsLearn how to build an AI novel writing team using Glutter's multi-Agent templates, with Editor-in-Chief, Author, and Proofreader roles collaborating to solve character consistency and plot coherence challenges in long-form fiction.
Product ReviewsLark CLI is Feishu's official open-source CLI tool designed for AI Agents, offering 200+ commands across 17 business domains with 24 structured Skills for messaging, docs, spreadsheets, calendars, and more.
TutorialsHands-on test of building an AI trading assistant with Claude Code + Telegram: natural language orders, funding rate scanning, portfolio dashboards, copy-trading, and security architecture.
TutorialsDeep dive into Harness Engineering: how engineers shift from coders to AI supervisors. Learn to solve agent drift, feedback optimization, and build future-proof engineering skills.
Product ReviewsHands-on review of Manus AI Agent on the DeepSeek tech stack, analyzing task execution, Chinese reasoning capabilities, strengths, limitations, and the potential of domestic LLMs in Agent applications.
TutorialsA complete guide to writing web novels with DeepSeek's Deep Think mode using a five-step method: outline, causal review, characters, chapters, and body text, plus tips for passing platform review.
TutorialsComplete guide to semi-automating livestream clipping with CapCut and DeepSeek: from subtitle recognition and AI-powered highlight filtering to batch remix export, compressing hours of manual editing into minutes.